Multiple Instance Learning

Paper Group AWR 37

February 2, 2020

Latent Channel Networks. DADAM: A Consensus-based Distributed Adaptive Gradient Method for Online Optimization. Output-Constrained Bayesian Neural Networks. Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation. End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation. Adversa …

Paper Group AWR 185

February 1, 2020

Neural Language Model Based Training Data Augmentation for Weakly Supervised Early Rumor Detection. Effective Rotation-invariant Point CNN with Spherical Harmonics kernels. Compressive Transformers for Long-Range Sequence Modelling. Weakly Supervised Domain Detection. Domain Robustness in Neural Machine Translation. Evaluating Protein Transfer Lear …

Paper Group AWR 286

February 1, 2020

Mean Spectral Normalization of Deep Neural Networks for Embedded Automation. Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images. Fully automatic computer-aided mass detection and segmentation via pseudo-color mammograms and Mask R-CNN. Interpretable and Steerable Sequence Learning via Prototypes. Patent Citation Dynami …

Paper Group AWR 320

February 1, 2020

Mend The Learning Approach, Not the Data: Insights for Ranking E-Commerce Products. Instagram Fake and Automated Account Detection. Disentangled Representation Learning for 3D Face Shape. Scalable Hierarchical Clustering with Tree Grafting. Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with …

Paper Group AWR 368

February 1, 2020

TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources. Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection. ExCL: Extractive Clip Localization Using Natural Language Descriptions. ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Adva …

Paper Group AWR 83

February 1, 2020

An Empirical Investigation of Randomized Defenses against Adversarial Attacks. Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty. Hierarchical Back Projection Network for Image Super-Resolution. Predicting Multiple Demographic Attributes with Task Specific Embedding Transformation and Attention Network. Looking back at Lab …

Paper Group ANR 144

January 31, 2020

GraphSAC: Detecting anomalies in large-scale graphs. Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks. Heuristic Black-box Adversarial Attacks on Video Recognition Models. Fuzzy Semantic Segmentation of Breast Ultrasound Image with Breast Anatomy Constraints. SMART: Skeletal Motion …

Paper Group ANR 180

January 31, 2020

Exploring Context, Attention and Audio Features for Audio Visual Scene-Aware Dialog. Leveraging Topics and Audio Features with Multimodal Attention for Audio Visual Scene-Aware Dialog. Studying Software Engineering Patterns for Designing Machine Learning Systems. Co-Evolutionary Compression for Unpaired Image Translation. Order Optimal One-Shot Dis …

Paper Group AWR 384

January 31, 2020

Kannada-MNIST: A new handwritten digits dataset for the Kannada language. Adversarial Robustness Against the Union of Multiple Perturbation Models. Two Decades of Network Science as seen through the co-authorship network of network scientists. Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking. Asymmetric Shapley values: incorpo …

Paper Group AWR 397

January 31, 2020

A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction. Root Identification in Minirhizotron Imagery with Multiple Instance Learning. Quality Assessment of In-the-Wild Videos. Improvements to Target-Based 3D LiDAR to Camera Calibration. Cross Attention Network for Few-shot Classification. Synthetic Epileptic Brain Activit …

Paper Group ANR 230

January 30, 2020

Uncovering Sociological Effect Heterogeneity using Machine Learning. Unsupervised Doodling and Painting with Improved SPIRAL. Active Learning within Constrained Environments through Imitation of an Expert Questioner. Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering. In Plain Sight: Media Bias Through the Lens of Factua …

Paper Group ANR 270

January 30, 2020

Reinforcement learning for bandwidth estimation and congestion control in real-time communications. Ctrl-Z: Recovering from Instability in Reinforcement Learning. QuicK-means: Acceleration of K-means by learning a fast transform. Knowledge Distillation For Recurrent Neural Network Language Modeling With Trust Regularization. Tag-based Semantic Feat …

Paper Group ANR 276

January 30, 2020

Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning. Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics. Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint. Streetify: Using Street View Imagery And Deep Learning For Urban Streets Developme …

Paper Group ANR 301

January 30, 2020

RadiX-Net: Structured Sparse Matrices for Deep Neural Networks. Temporal and Aspectual Entailment. Projectron – A Shallow and Interpretable Network for Classifying Medical Images. Justification-Based Reliability in Machine Learning. Improving Limited Angle CT Reconstruction with a Robust GAN Prior. Literature Review: Human Segmentation with Static …

Paper Group ANR 359

January 30, 2020

Towards Precise End-to-end Weakly Supervised Object Detection Network. Event-based attention and tracking on neuromorphic hardware. A Dual-Staged Context Aggregation Method Towards Efficient End-To-End Speech Enhancement. Self-adaptive Potential-based Stopping Criteria for Particle Swarm Optimization. Automatically Evaluating Balance: A Machine Lea …

Paper Group ANR 498

January 29, 2020

Online Subspace Tracking for Damage Propagation Modeling and Predictive Analytics: Big Data Perspective. SCR-Apriori for Mining `Sets of Contrasting Rules’. Visual-Relation Conscious Image Generation from Structured-Text. An Algorithmic Equity Toolkit for Technology Audits by Community Advocates and Activists. Weakly Supervised Attention Networks f …

Paper Group ANR 500

January 29, 2020

Forecasting the Success of Television Series using Machine Learning. Android Botnet Detection using Convolutional Neural Networks. Projecting “better than randomly”: How to reduce the dimensionality of very large datasets in a way that outperforms random projections. Constructing the F-Graph with a Symmetric Constraint for Subspace Clustering. Arch …

Paper Group ANR 533

January 29, 2020

Prediction and optimization of mechanical properties of composites using convolutional neural networks. Learning to Clean: A GAN Perspective. An encoding framework with brain inner state for natural image identification. Does Knowledge Transfer Always Help to Learn a Better Policy?. Likelihood Ratios and Generative Classifiers for Unsupervised Out- …

Paper Group ANR 711

January 29, 2020

How Sequence-to-Sequence Models Perceive Language Styles?. Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions. Soft edit distance for differentiable comparison of symbolic sequences. Subtractive Perceptrons for Learning Images: A Preliminary Report. Fast Training of Sparse Graph Neural Networks on Dense …

Paper Group ANR 1044

January 28, 2020

Efficient Learning of Distributed Linear-Quadratic Controllers. Self-Supervised Convolutional Subspace Clustering Network. Unsupervised Domain Adaptation of Language Models for Reading Comprehension. Deep Instance-Level Hard Negative Mining Model for Histopathology Images. Deep Flow-Guided Video Inpainting. Automatic Image Pixel Clustering based on …

Paper Group ANR 855

January 28, 2020

Revisiting Paraphrase Question Generator using Pairwise Discriminator. Bayesian Deconditional Kernel Mean Embeddings. Single Episode Policy Transfer in Reinforcement Learning. Making Recommendations from Web Archives for “Lost” Web Pages. Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards. Generalizable Reso …

Paper Group ANR 888

January 28, 2020

Predicting Brazilian court decisions. Response Transformation and Profit Decomposition for Revenue Uplift Modeling. Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach. Social Influence and Radicalization: A Social Data Analytics Study. Differentially Private Markov Chain Monte Carlo. Quasi-Newton Trust Region Policy Optimization. Qua …

Paper Group ANR 928

January 28, 2020

Best Pair Formulation & Accelerated Scheme for Non-convex Principal Component Pursuit. Compression and Interpretability of Deep Neural Networks via Tucker Tensor Layer: From First Principles to Tensor Valued Back-Propagation. Efficient Differentiable Neural Architecture Search with Meta Kernels. Evaluating Hierarchies through A Partially Observable …

Paper Group ANR 986

January 28, 2020

Statistical Parameter Selection for Clustering Persistence Diagrams. Fully Hyperbolic Convolutional Neural Networks. Depth Estimation on Underwater Omni-directional Images Using a Deep Neural Network. How do neural networks see depth in single images?. Unsupervised Domain-Adaptive Person Re-identification Based on Attributes. Painting on Placement: …

Paper Group ANR 987

January 28, 2020

Deep Learning Under the Microscope: Improving the Interpretability of Medical Imaging Neural Networks. Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels. Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images. InfoMask: Masked Variational Latent Representation to Localize Chest Disease. It …

Paper Group ANR 1077

January 27, 2020

Towards Efficient Discrete Integration via Adaptive Quantile Queries. Data Interpretation Support in Rescue Operations: Application for French Firefighters. A Bayesian Approach to Modelling Longitudinal Data in Electronic Health Records. Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents. ACTNET: end-to-end learn …

Paper Group ANR 1144

January 27, 2020

Estimation of crowd density applying wavelet transform and machine learning. NeuroPod: a real-time neuromorphic spiking CPG applied to robotics. Discriminative Video Representation Learning Using Support Vector Classifiers. Water Supply Prediction Based on Initialized Attention Residual Network. Recent Trends in Deep Learning Based Personality Dete …

Paper Group ANR 1184

January 27, 2020

Evaluating MAP-Elites on Constrained Optimization Problems. Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity. An Online Evolving Framework for Modeling the Safe Autonomous Vehicle Control System via Online Recognition of Latent Risks. Automated Rib Fracture Detection of Postmortem Computed Tomography Ima …